International Conference on Big Data Analytics and Machine Learning Tools for IT - (ICBDAMLTT-26)


19th - 20th October, 2026 | Nice, France

Multi-format (In-person/Virtual)

Registration Options

Explore conference registration categories designed for every mode of participation.

Important Dates

Pre-registration Deadline

19th September, 2026

Paper Submission Deadline

24th September, 2026

Last Date Of Registration

4th October, 2026

Date Of Conference

19th - 20th October, 2026

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Call for Papers

The (ICBDAMLTT-26) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Big Data,Machine Learning,Information Technology, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Machine learning tools for data analysis
  • Big data frameworks and methodologies
  • Data mining techniques for insights
  • AI-driven analytics in IT
  • Machine learning for predictive maintenance
  • Visualization tools for big data
  • Data quality and integrity challenges
  • Real-world applications of ML tools
  • Scalability in big data solutions
  • Integration of machine learning in IT
  • Big data ethics and compliance
  • Performance evaluation of ML tools
  • Innovative algorithms for data processing
  • Collaborative approaches in data analytics
  • Industry-specific big data applications
  • Impact of big data on business models
  • Data governance in analytics projects
  • Machine learning for customer insights
  • Future of big data technologies
  • Security implications of big data

Peer Review Process

All submissions will be evaluated through a structured peer-review process to ensure academic rigor and contribution to the field. Accepted papers will be presented and may be considered for publication in high-quality journals and indexed conference proceedings.

Registration Details

Secure your participation by completing the registration process at the earliest. Limited presentation slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions will be prioritized for publication opportunities in recognized journals and indexed proceedings.